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GuidePublished 16 Aug 202616 min readBy KEVOS Editorialr&d governancecross-functional teamsdecision accountabilityempowered project teams
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KEVOS AIGoverning R&D Decisions Organisationally

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Governing R&D Decisions Organisationally

A quantified evaluation process has an organisational precondition: teams holding both authority and resources, functions holding competence but not the casting vote, and senior management gating funding on a shared vision. The prescription dates from 1994, and its reading of prevailing practice belongs to that year.

Reading time18 minutes
LevelAdvanced
Topic streamRd Project Management
Source materialR&D Management Papers
Updated2026-08-16

In brief

  • Five of the six dimensions of R&D decision quality are analytical. The sixth is organisational, and it is the one that fails: an evaluation nobody accepts is a failed evaluation, whatever the arithmetic says.
  • The organisational prescription is short and blunt. Execute through functionally complete teams, empower them from the top, give them authority and resources, and reduce the functional departments to reservoirs of competence that do not call the shots.
  • The tools produce numbers. The organisation decides whether anyone is obliged to act on them, and the source names the absence of credible assessments as part of why weak governance habits persist.
  • Three governance failure modes recur: cutting every project by the same percentage, forecasting the pipeline on potential rather than expected revenue, and reading a high-probability portfolio as good performance.
  • The source is a 1994 methods synthesis. The organisational rules travel; its account of how common quantitative assessment was at the time does not.

The sixth dimension is an organisational test, not an analytical one

R9 assesses a decision on six dimensions: frame, alternatives, information, values, logic and commitment. The first five are things an analyst can do at a desk. The sixth is not, and it is set out in full on Decision Quality in R&D.

Commitment asks whether the preceding five were done in a way that generates organisational credibility, acceptance of the results, and commitment to action. That is a question about arrangements — who was in the room, who owns the numbers, who is obliged to act on them — and no amount of analytical rigour answers it.

From the source

The test the toolkit sets itself

R9 places commitment alongside the five analytical dimensions rather than after them. An analytically perfect evaluation that nobody accepts fails the diagnostic. The failure is recorded against the decision, not against the organisation that ignored it.

The same paper describes R&D management as three roles: strategic management (allocating resources, or doing the right R&D), operational management (execution, or doing the R&D right), and people management — which it calls possibly the most important of the three. Strategic and operational management are coupled by project evaluation and project decisions.

That coupling is why governance sits on this page and not in a separate discipline. The go/no-go decisions — selection, continuation, modification, termination — are the joint where strategy and execution meet, and they are the decisions the organisational arrangements have to carry.

The organisational prescription, and what each sentence removes

R9's organisational section is three statements long. Read them as a set of transfers rather than as advice, because each one takes something away from somebody.

THE THREE STATEMENTS AND WHAT EACH ONE MOVES

Statement as givenWhat it grantsWhat it removes
Execute R&D projects through functionally complete teamsA single body that contains every function the project needs — research, development, manufacturing, marketing — rather than a sequence of handoversThe ability of any one function to define the project on its own terms and pass it on
Teams are highly empowered by senior management to get the job doneStanding authority to decide within the project rather than case-by-case permissionThe escalation habit, and senior management's option to withhold a decision indefinitely
Teams must have both authority and resourcesBoth halves together — authority without resources is a mandate to fail, resources without authority is a budget somebody else spendsThe arrangement in which a team is told to deliver and then negotiates for people project by project
Functional departments become reservoirs of competence but do not call the shotsA clear and continuing role for the functions: hold, deepen and supply technical capabilityFunctional veto over project direction, and functional ownership of the schedule

Paraphrased from the organisational prescription in R9, a 1994 practitioner methods synthesis. The commentary in the third column is drawn out from the statements; the source states the transfers without elaborating them.

Caution

Reservoirs of competence is not a demotion you can announce and skip

The phrase reads as a tidy compromise and is usually implemented as one: the functions keep the people, the budget, the promotion path and the technical standards, and the team gets a name. In that arrangement the team has responsibility and the function has authority, which is the split the prescription exists to prevent.

The source does not say how to make the transfer stick. It states the end position only.

Who decides, who analyses, who is accountable

R9 publishes no responsibility matrix. What it does publish is a set of instructions addressed to particular parties, and those instructions can be sorted by who is being told to do something. The table below sorts them, and marks where the source stops.

PARTIES, ASSIGNED WORK AND OPEN QUESTIONS

PartyWhat the source assigns itWhat the source leaves open
Senior managementEmpowering the teams; requiring an explicit, accepted and shared vision of the product before funding a major new-product development; investigating a portfolio with few high-value projects and many low-value onesWho inside senior management holds the gate, and what happens when the gate is refused
The cross-functional project teamProducing credible assessments of time and cost to completion, probability of success and potential commercial value; explaining how its efforts can be expected to generate value; working the toughest technical hurdles firstWho on the team owns each number, and how disagreement inside the team is resolved
Functional departmentsHolding and supplying technical competenceHow functional technical standards are enforced when the team is the decision-maker
R&D managementMonitoring and improving portfolio balance — named as one of its prime responsibilities; asking why any project shows an expected return below oneWhether R&D management can overrule an empowered team, and on what grounds
Business managementReading the probabilistic revenue forecast against business goals and acting when the pipeline will not deliverThe forum in which that reading happens, and its cadence

Assembled from the decision rules stated in R9. The right-hand column records questions the paper does not answer; it is not a list of the paper's recommendations.

Practice note

One owner per number

The source does not prescribe this. In practice, the fastest way to make a quantified process survive contact with an organisation is to name a single accountable owner for each of the three inputs — cost and time to completion, probability of success, potential value given success — and to make that person present their own number rather than have it presented for them.

It does not improve the estimate. It removes the retreat in which every number belongs to the process and none belongs to a person.

The decision rules the arrangement exists to enforce

Governance arrangements are only worth building if there are rules they are meant to make binding. R9 states its rules in a form that can be tested, which is what makes them governable. The full mechanics of the tools that produce the inputs sit on R&D Project Evaluation Tools.

Rules stated by the source, in conditional form

IfPotential commercial value multiplied by probability of success exceeds expected R&D cost to completion
ThenFund the project — it is expected to create positive shareholder value
IfResources are unlimited
ThenFund every project with positive expected value
IfResources are constrained
ThenRank by expected return — potential commercial value times probability of success, divided by R&D cost — which measures how efficiently the project uses R&D resources
IfA project's expected return is less than one
ThenManagement must ask why. Many such projects can and should be improved; some should be terminated
IfBudgets get tight
ThenDo not cut all projects uniformly. Completely eliminate some of the weakest if they cannot be dramatically improved
IfThe team cannot clearly explain how its efforts can be expected to generate value
ThenDo not fund the project
IfA major new-product development project is up for funding
ThenRequire the team to present an explicit, accepted and shared vision of the product first
IfThe project is very early
ThenWork systematically on the toughest technical hurdles first — it weeds out losers early and identifies correctable problems at the earliest possible time
IfThe pipeline will not deliver what the business needs
ThenExplore increasing R&D funding, increasing R&D productivity, acquiring technology, acquiring products or businesses, or improving the productivity of existing businesses
From the source

The shareholder-value premise is stated, not argued

The whole apparatus is conditional on taking the creation of shareholder value as the ultimate goal of industrial R&D. R9 states this as an assumption at the outset and does not defend it.

It matters for governance. An organisation whose R&D exists partly for capability building, national capacity or regulatory obligation is not the organisation these rules were written for, and the rules will produce answers it cannot act on.

Why the tools fail without the arrangements

The failure paths are specific, and R9 names most of them itself. None of them is a failure of arithmetic.

Four ways a quantified process dies

INPUTS

Garbage in, garbage out

R9 records that many organisations have had this experience with quantitative R&D evaluation in the past, and positions its toolkit as the fix rather than as self-evidently trustworthy. Estimates produced by whoever is available, unchallenged and unattributed, produce a decision tree that reproduces the opinion it started with.

VACUUM

No credible assessments to decide on

The source states plainly that management rarely has credible assessments on which to base termination decisions, and offers that as part of why uniform cutting persists. The default is not a worse decision method; it is a decision method that requires no evidence.

ACCEPTANCE

Analysis nobody owns

The commitment dimension is failed by an evaluation carried out to one side of the people who must act on it. The tools are described as simple to understand but nontrivial to apply, and making them a way of life is said to require sustained effort.

FRAMING

No shared vision at the start

Failure to build a shared product vision from the start is named as one of the most common and most destructive failure modes, causing enormous rework across many industries. It is a framing failure that no downstream valuation detects.

The pattern across all four is the same. The analysis is not wrong; it is unattached. Somebody produced it, nobody is bound by it, and the decision is taken on the grounds it would have been taken on anyway.

Three governance failure modes the portfolio view exposes

Two of these are things organisations do, and one is a thing organisations fail to notice. The portfolio instruments that surface them are described on R&D Portfolio Displays and Strategy Tables.

What the source says organisations do

  • Cut every project by the same percentage when budgets tighten. Named as the most common organisational response, and stated to be worse than fully eliminating the weakest projects.
  • Present potential revenue as the pipeline forecast — the figure that assumes every project succeeds technically and is commercialised. The source says well-managed R&D organisations do this and lose significant credibility a few years later.
  • Defer termination because there is nothing credible to terminate on.

What the source says organisations should do instead

  • Eliminate the weakest projects outright unless they can be dramatically improved.
  • Report expected revenue — the probability-weighted figure — because potential revenue is described as clearly unrealistic.
  • Build the assessments first, so that the continuation and termination conversation has something to sit on.
Caution

A balanced-looking portfolio can be a succession problem

Because low-probability projects are usually several years from commercialisation, R9 observes that a head of R&D running a portfolio loaded with high-probability projects will appear to be successful for the next several years — but the successor may be in for trouble.

Current performance is therefore a lagging and misleading signal of portfolio health. Any governance arrangement that reviews an R&D function on results alone will reward exactly the behaviour that produces the problem, which is one reason the criteria on Making Better Project Termination Decisions matter to the reviewer as well as to the project.

Reading a 1994 prescription in the present

R9 was published in 1994 in a practitioner journal for R&D and technology managers. Batch rule: where a paper describes tooling, computing, prevailing practice or market conditions, the commentary is dated even where the framework is not. Sorting the two is the reader's job.

WHAT IS DATED AND WHAT IS NOT

ElementStatusWhy
Functionally complete, empowered teams; functions as reservoirs of competenceTravelsA statement about where authority sits. Independent of technology and of the state of practice in any decade
The funding rule, the ranking rule and the gatesTravelsArithmetic and conditions, both technology-independent
The claim that quantitative assessment of cost, time, probability and value was becoming increasingly common for applied R&DDated to 1994A statement about prevailing practice at the time of writing. It is not evidence about practice now
The positioning of decision-quality tools as complementary to, and distinct from, the quality-management toolkit then in vogueDated to 1994A positioning move against the management fashion of that period
The reported benchmarking evidence that leading R&D organisations were using these toolsExternally cited figure, dated 1993Quoted by R9 from a study conducted by others, with no percentages given. R9 is not itself evidence for it
The anonymised client displays and their valuesIllustrative examplesUsed to demonstrate the displays. Never benchmarks
Note

One paper, one reading set

R9 is a consultant's synthesis published in a practitioner outlet, not empirical research. It is one of eleven papers supplied as a reading set for a literature review on R&D project management; that set was assembled by a student and is not a systematic or representative survey of the field.

Treat the organisational prescription as a considered professional position with a stated experience base behind it, not as a tested finding.

What the source does not settle

Source gap

The prescription names an end state and stops

R9 states that teams should be functionally complete, highly empowered, and equipped with authority and resources, and that functional departments should not call the shots. It does not supply:

Any of these would have to come from elsewhere. Filling them in from general management practice is legitimate, but it is not this paper speaking.

  • a mechanism for granting the empowerment, or any test for whether it has actually been granted
  • a reporting line for the team, or a treatment of dual reporting to team and function
  • an escalation path for a decision the team cannot take
  • a committee structure, a review cadence, or a definition of who chairs what
  • any treatment of how technical standards are upheld once the function no longer calls the shots
  • the study behind the six dimensions of decision quality, which are presented as a research finding without published data, scale or threshold

One further boundary is explicit. R9 states that none of its discussion is intended to apply to, or constrain, basic knowledge-building research. Governing exploratory science by these rules is applying them outside their stated scope, and the paper says so.

Before you claim a quantified R&D decision process is governed

  • Each of the three decision inputs has a named owner who presents it personally
  • The funding gate has a named holder, and a refusal at that gate is a real outcome with a known consequence
  • The team's authority is written down somewhere other than a slide, and the resources attached to it are committed rather than negotiated per project
  • There is a stated route for a decision the team cannot take, and it is used rather than bypassed
  • Portfolio balance is reviewed by someone not rewarded on this year's results
  • The budget-tightening rule is agreed before the year in which it will be unpopular
  • Everyone who must act on the evaluation was involved in producing it

What to carry forward

  1. Commitment is a dimension of decision quality, not a downstream communication task. An evaluation nobody accepts has failed on the source's own terms.
  2. The organisational prescription is a transfer of authority: to functionally complete teams holding both authority and resources, away from functions that keep competence but lose the casting vote.
  3. The rules are governable because they are conditional and testable — fund above the threshold, rank by expected return under constraint, ask why below one, never cut uniformly.
  4. The failure modes are organisational, not arithmetical: unattributed inputs, no credible assessments to terminate on, analysis nobody owns, and no shared vision at the start.
  5. Reviewing an R&D function on current results rewards a portfolio loaded with high-probability work and leaves the problem for a successor.
  6. The source names the end state and not the mechanism. Reporting lines, escalation, cadence and empowerment tests all have to come from somewhere else, and the page you read them on should say so.

Frequently asked questions

Does the source say who should chair the R&D funding decision?

No. It says senior management empowers the teams and should require a shared product vision before funding a major new-product development, but it names no forum, no chair and no cadence. That is one of the clearest gaps in the paper, and it is a gap the reader has to fill from general management practice rather than from this source.

If functional departments do not call the shots, who owns technical standards?

The source does not say. It assigns functions the role of reservoirs of competence and assigns direction to the empowered cross-functional team, but it does not address how a technical standard is upheld against a team decision. Treat this as an unresolved tension rather than a settled arrangement.

Why is cutting every project by the same percentage worse than cutting some entirely?

Because a uniform cut degrades the strong projects to fund the weak ones, and slows everything without removing anything. The source calls the uniform cut the most common organisational response and instructs that the weakest projects be completely eliminated instead, unless they can be dramatically improved.

How can a portfolio look healthy and still be badly governed?

By being loaded with high-probability, lower-value projects. Those deliver on time and flatter current results, while the low-probability work that would sustain the business several years out is missing. The source notes that the manager responsible appears successful for several years and the successor inherits the shortfall.

Is any of this evidence, or is it professional opinion?

It is a consultant's synthesis published in a practitioner journal in 1994, not empirical research. It carries a stated experience base and cites a small number of external studies, but its organisational prescription is a considered position rather than a tested finding, and it should be labelled that way when quoted.

Does it apply to a pure research group?

The source excludes that case explicitly. None of its discussion is intended to apply to, or constrain, basic knowledge-building research; it is written for purposeful work aimed at a commercially attractive objective. Applying the governance rules to exploratory science means applying them outside their stated scope.

References and source attribution

  1. R9 - improving R&D decisions and execution. Practitioner methods article in a journal for R&D and technology managers, 1994; 8 printed pages; a consultant's synthesis of a decision-analysis toolkit illustrated with anonymised client displays. Not empirical research. Organisational prescription, decision rules and stated limitations drawn on here.
  2. Externally cited within R9 and not independently verified: a 1993 benchmarking study by a quality-directors network, a decision-quality association and a consulting firm, reported as revealing widespread use of these tools among leading R&D organisations, with no percentages given.
  3. Eleven copyrighted journal articles on R&D project management, supplied as a reading set for a literature review and profiled for this library. Front matter, abstracts, framework sections, tables and figures were read; article bodies were not reproduced, and all content here is paraphrase. The set was assembled by a student and is not a systematic survey of the field.
  4. Supplied teaching source for this library (research methods and research process materials). Used here for page conventions and voice only; it does not treat R&D project management.

Suggested questions for Ask KEVOS

  • Draft a responsibility split for an R&D funding decision using the roles this source assigns.
  • What would I have to change to move my project teams from functional authority to team authority?
  • Write the funding gate criteria for a new-product programme, using the rules on this page.
  • Test my current R&D portfolio review against the failure modes described here.
  • How do I set an agreed budget-tightening rule before the year in which it will be unpopular?
  • Which of the gaps on this page would most affect an organisation of my size?

Related KEVOS knowledge

Decision Quality in R&D: Six DimensionsCore · rd project managementR&D Project Evaluation ToolsCore · rd project managementR&D Portfolio Displays and Strategy TablesCore · rd project managementMaking Better Project Termination DecisionsCore · rd project managementPost-Project Reviews in R&DCore · rd project managementWhat Distinguishes Successful R&D ProjectsCore · rd project management
KEVOS® · Project Delivery · Research Projects Page KVS-PM-RES-0120 · v1.0.0 · content 2026.08 Last reviewed 2026-08-16

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